[robotics-worldwide] CFP: ECAI Workshop on Machine Learning for Interactive Systems: Bridging the Gap Between Language, Motor Control, Robotics and Vision (Extended deadline, June 07)

Heriberto Cuayahuitl h.cuayahuitl at googlemail.com
Thu May 31 22:07:45 PDT 2012


Call for Papers: MLIS 2012: Workshop on Machine Learning for
Interactive Systems: Bridging the Gap Between Language, Motor Control,
Robotics and Vision
Montpellier, France, 27-28th of August, 2012

http://www.sfbtr8.spatial-cognition.de/mlis-2012/Submission.html

We would like to invite submissions in the area of machine learning
that integrate some or all of language processing, motor control and
computer vision for multimodal or robotic systems. To foster
discussion, we also encourage submissions of position papers
addressing how to bridge the gap between language, motor control,
robotics and vision.

Submissions can take two forms. Long papers should not exceed 6 pages
and short papers should not exceed 2 pages. They should follow the
general ECAI submission guidelines.

A special issue related to the topic of this workshop, with a
submission deadline in autumn 2012, is planned for the ACM
Transactions on Interactive Intelligent Systems (TiiS) journal
(http://tiis.acm.org/).

Important Dates:
June 07, 2012: Extended paper submission deadline (23:59 CET)
July 07, 2012: Notification of acceptance
July 22, 2012: Camera-ready papers due
Aug. 27/28, 2012: MLIS Workshop

Interactive systems such as multimodal interfaces or robots must
perceive, act, and interact in the environment where they are
embedded. Naturally, perception, action and interaction are mutually
related and affect each other. This is particularly the case in many
hands-free and eyes-free mobile applications of interactive systems.
Machine learning offers the attractive capability of making
interactive systems more adaptive to the user and environment. For any
of perception, action, and interaction we find a large number of
applications using machine learning techniques. However, holistic
approaches that tackle these fields in a unified way are still rare.
The question of how to integrate language, motor control and vision in
machine learning interfaces in an efficient and effective way has been
a long standing problem and is the main topic of the workshop.

This workshop aims to bring people together interested in natural
language processing, motor control and computer vision with a unified
perspective. This invitation is particularly directed to people
designing, building, and evaluating Machine Learning Interactive
Systems (MLIS) that interact with their environment, and particularly,
the people within. Example research questions to address are the
following: (a) how do MLIS integrate multimodal perceptions for action
and interaction? (b) How do MLIS exhibit adaptive interactive
behaviour given their perceptions? and (c) how do MLIS integrate
verbal and non-verbal behaviour for effective interactions?

Topics include, but are not limited to the following:
- Reinforcement learning for interactive systems
- Supervised learning for interactive systems
- Unsupervised learning for interactive systems
- Hybrid machine learning for interactive systems
- Hierarchical Machine Learning for interactive systems
- Machine learning for multi-modal interactive systems
- Machine learning for multi-party interactive systems
- Machine learning for emotional interactive systems
- Machine learning for reasoning in interactive systems
- Machine learning for user modelling in interactive systems
- Machine learning for gesture-based interactive systems
- Machine learning for vision-based interactive systems
- Evaluations of machine learning interactive systems
- All topics related to machine learning for avatars and interactive robots

Invited Speakers:
Jeremy Wyatt, University of Birmingham
Oliver Lemon, Heriot-Watt University, Edinburgh

Organizing Committee:
Heriberto Cuayáhuitl, DFKI Saarbrücken, Germany
Lutz Frommberger, University of Bremen, Germany
Nina Dethlefs, Heriot-Watt University, Edinburgh, UK
Hichem Sahli, Free University of Brussels, Belgium

Contact:
hecu01 at dfki.de


More information about the robotics-worldwide mailing list